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Neural Compression-Based Feature Learning for Video Restoration
The temporal features usually contain various noisy and uncorrelated information, and they may interfere with the restoration of the current frame.
Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification
Besides, we propose attention regularization and attention dropout to weakly supervise the generating process of attention maps.
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